// We're assuming here that all the keys in the map literal are distinct.
		// If any are equal, this will be an overcount. Probably not worth accounting
		// for that, as equal keys in map literals are rare, and at worst we waste
		// a bit of space.
		n.Len += int64(len(dynamics))

		return m
	}

	// No return - type-assertions above. Each case must return for itself.
}

      }
    }
  }

  /**
   * Marks the given node as 'deleted' (null waiter) and then scans the list to unlink all deleted
   * nodes. This is an O(n) operation in the common case (and O(n^2) in the worst), but we are saved
   * by two things.
   *
   * <ul>
   *   <li>This is only called when a waiting thread times out or is interrupted. Both of which
   *       should be rare.

      }
    }
  }

  /**
   * Marks the given node as 'deleted' (null waiter) and then scans the list to unlink all deleted
   * nodes. This is an O(n) operation in the common case (and O(n^2) in the worst), but we are saved
   * by two things.
   *
   * <ul>
   *   <li>This is only called when a waiting thread times out or is interrupted. Both of which
   *       should be rare.

	if testing.Short() {
		t.Skip("skipping generation of a long chain of certificates in short mode")
	}

	// Build a chain where all intermediates share the same subject, to hit the
	// path building worst behavior.
	roots, intermediates := NewCertPool(), NewCertPool()

	parent, parentKey, err := generateCert("Root CA", true, nil, nil)
	if err != nil {
		t.Fatal(err)
	}
	roots.AddCert(parent)

		// Try to keep work available on the global queue. We used to
		// check if there were waiting workers, but it's better to
		// just keep work available than to make workers wait. In the
		// worst case, we'll do O(log(_WorkbufSize)) unnecessary
		// balances.
		if work.full == 0 {
			gcw.balance()
		}

		b := gcw.tryGetFast()
		if b == 0 {
			b = gcw.tryGet()
			if b == 0 {

		// scavenging throughput.
		//
		// The current value is chosen assuming a cost of ~10µs/physical page
		// (this is somewhat pessimistic), which implies a worst-case latency of
		// about 160µs for 4 KiB physical pages. The current value is biased
		// toward latency over throughput.
		const scavengeQuantum = 64 << 10

		// Accumulate the amount of time spent scavenging.

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// resolveQueries returns with changed=false.
func (r *resolver) resolveQueries(ctx context.Context, queries []*query) (changed bool) {
	defer base.ExitIfErrors()

	// Note: this is O(N²) with the number of pathSets in the worst case.
	//
	// We could perhaps get it down to O(N) if we were to index the pathSets
	// by module path, so that we only revisit a given pathSet when the

- Previously, the scheduling queue didn't notice any extenders' failures, potentially resulting in missed cluster events and Pods rejected by Extenders being stuck in the unschedulable pod pool for up to 5 minutes in the worst-case scenario. Now, the scheduling queue notices extenders' failures and requeues Pods rejected by Extenders appropriately.
   ([#122022](https://github.com/kubernetes/kubernetes/pull/122022), [@sanposhiho](https://github.com/sanposhiho))

        selection.rejectionReason == "bad"
    }

    def "last rejection wins"() {
        when:
        selection.reject("bad")
        selection.reject("worse")

        then:
        selection.rejected
        selection.rejectionReason == "worse"
    }

    def 'delegates to metadata provider for metadata access'() {
        given:
        metadataProvider.usable >> true

        when: